Control of Dendrites in Rechargeable Batteries using Smart Charging

TL;DR

This paper presents a feedback control framework for real-time minimization of dendritic microstructures in rechargeable batteries, aiming to optimize charging time and enhance safety by controlling microstructure growth.

Contribution

The paper introduces a novel real-time feedback control method that minimizes dendrite growth during battery charging by monitoring microstructure curvature and adjusting charging parameters accordingly.

Findings

Control framework effectively reduces dendrite formation.

Results show significant decrease in charging time.

Framework correlates microstructure growth with electrical variations.

Abstract

In this paper we develop a feed-back control framework for the real-time minimization of microstructures grown within the rechargeable battery. Due to quickening nature of the branched evolution, we identify the critical ramified peaks in the early stages and based on the state we compute the relaxation time for the concentration in those branching fingers. The control parameter is a function of the maximum curvature (i.e. minimum radius) of the branched microstructure, where the higher rate dendritic evolution would lead to the more critical state to be controlled. The charging time is minimized for generating the most packed microstructures and obtained results correlate closely with those of considerably higher charging time periods. The developed framework could be utilized as a smart charging protocol for the safe and sustainable operation the rechargeable batteries, where the branching of the microstructures could be correlated to the sudden variation in the current/voltage.